Published March 13, 2026 | Version v2
Working paper Open

Biogeophysical Admittance Spectroscopy (BAS): A Unified Multimodal Framework for Reagent-Free Solid-State Diagnostic Support

Authors/Creators

  • 1. ROR icon University of Carabobo
  • 2. UPTLL Juana Ramirez

Description

This paper presents the unified BAS (Biogeophysical Admittance Spectroscopy) theoretical framework with integrated BCO (BAS Central Orchestrator), a technology designed specifically to aid in diagnostics through rapid triage in vulnerable populations. The system integrates an extensible N-domain architecture (N ≥ 10) distributed across a multi-node ESP32-S3 cluster. We detail the biological and physical-mathematical foundations of each domain (Optical, Dielectric, Inductive, Electrochemical, Volatile, Photonic, Thermodynamic, Autofluorescence, Rheological, Magnetohydrodynamic), along with the distributed hardware architecture, BAS-Link communication protocol, physics-informed inference algorithms (PINN), and uncertainty budgets. The fundamental objective is to provide diagnostic technological sovereignty, demonstrating the viability of a low-cost portable distributed system capable of reducing health inequity through accessible point-of-care diagnostic support with hardware resilience and scalability. 

Notes

Este artículo presenta el marco teórico unificado BAS (Espectroscopia de Admitancia Biogeofísica) con el BCO (Orquestador Central BAS) integrado, una tecnología diseñada específicamente para ayudar en el diagnóstico mediante un triaje rápido en poblaciones vulnerables. El sistema integra una arquitectura extensible de N-dominios (N≥10) distribuida a través de un clúster multinodo ESP32-S3. Detallamos los fundamentos biológicos y físico-matemáticos de cada dominio (Óptico, Dieléctrico, Inductivo, Electroquímico, Volátil, Fotónico, Termodinámico, Autofluorescencia, Reológico, Magnetohidrodinámico), junto con la arquitectura de hardware distribuido, el protocolo de comunicación BAS-Link, los algoritmos de inferencia informados por la física (PINN) y los presupuestos de incertidumbre. El objetivo fundamental es proporcionar soberanía tecnológica diagnóstica, demostrando la viabilidad de un sistema distribuido portátil de bajo costo capaz de reducir la inequidad en salud a través de un apoyo diagnóstico accesible en el punto de atención con resiliencia de hardware y escalabilidad.

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Working paper: 10.5281/zenodo.18932950 (DOI)
Preprint: 10.5281/zenodo.19665616 (DOI)

References

  • [1] World Health Organization. Global Health Observatory Data Repository. 2023. Available online: https://www.who.int/data/gho/publications/world-health-statistics. [2] Kesselheim, Aaron S., Thomas J. Hwang, and Jerry Avorn. Paying for prescription drugs in the new administration. JAMA 2021, 325(9),819-820. [3] Mabey, D.; Peeling, R.W.; Ustianowski, A.; Perkins, M.D. Diagnostics for the developing world. Nat. Rev. Microbiol. 2012, 10, 231–240. [4] KUBELKA, Paul y MUNK, Franz. Ein Beitrag zur Optik der Farbanstriche. Zeitschrift für technische Physik. 1931, vol. 12, pp. 593–601. [5] Hanai, T. Electrical properties of emulsions. In Emulsion Science; Academic Press: London, 1968. [6] BRUGGEMAN, Von DAG. Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. I. Dielektrizitätskonstanten und Leitfähigkeiten der Mischkörper aus isotropen Substanzen. Annalen der physik, 1935, vol. 416, no 7, p. 636-664. [7] NABIGHIAN, Misac N. Quasi-static transient response of a conducting permeable sphere in a dipolar field. Geophysics, 1970, vol. 35, no 2, p. 303-309. [8] NERNST, Walther. Die elektromotorische wirksamkeit der jonen. Zeitschrift für physikalische Chemie, 1889, vol. 4, no 1, p. 129-181. [9] Vivas Zamora, D.I.; Sanchez Diaz, J.A.; Brito Guerrero, Y.P. Theoretical Framework for Sensorless pH Monitoring in Hydrometallurgical Systems: A Voltammetric Overpotential Approach for Edge Computing. Zenodo 2026. https://doi.org/10.5281/zenodo.18510256 [10] LANGMUIR, Irving. The constitution and fundamental properties of solids and liquids. Part I. Solids. Journal of the American chemical society, 1916, vol. 38, no 11, p. 2221-2295. [11] CLIFFORD, P. K.; TUMA, D. T. Characteristics of semiconductor gas sensors I. Steady state gas response. Sensors and Actuators, 1982, vol. 3, p. 233-254. [12] WATSON, J. The stannic oxide gas sensor. Sensor Review, 1994, vol. 14, no 1, p. 20-23. [13] POPP, Fritz Albert; GU, Qiao; LI, K. H. (ed.). Recent advances in biophoton research and its applications. 1992. [14] Naumova, E.V., Vladimirov, Y.A., Beloussov, L.V. et al. Methods of Studying Ultraweak Photon Emission from Biological Objects: I. History, Types and Properties, Fundamental and Application Significance. BIOPHYSICS 66, 764–778 (2021). https://doi.org/10.1134/S0006350921050158 [15] GAGGE, Adolf P. An effective temperature scale based on a simple model of human physiological regulatory response. Ashrae Trans., 1971, vol. 77, p. 247-262. [16] PARKER, Charles A.; REES, W. T. Correction of fluorescence spectra and measurement of fluorescence quantum efficiency. Analyst, 1960, vol. 85, no 1013, p. 587-600. [17] LAKOWICZ, Joseph R. (ed.). Principles of fluorescence spectroscopy. Boston, MA: springer US, 2006. [18] STOKES, George Gabriel. On the theories of the internal friction of fluids in motion, and of the equilibrium and motion of elastic solids. 2007. [19] HALL, Edwin H., et al. On a new action of the magnet on electric currents. American Journal of Mathematics, 1879, vol. 2, no 3, p. 287-292. [20] Raissi, M.; Perdikaris, P.; Karniadakis, G.E. Physics-informed neural networks. J. Comput. Phys. 2019, 378, 686–707. [21] Liu, Yu, and Boyuan Wang. "Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review." Frontiers in Public Health 13 (2025): 1510456.56 [22] Wang, Guiying, et al. "A MXene-bridged triboelectric sensor for tinyML-empowered joint biomechanics." Nano Research (2025). [23] Espressif Systems. ESP32-S3 Technical Reference Manual. 2023. Available online: https://documentation.espressif.com/esp32-s3_technical_reference_manual_en.pdf